Simulation of Seed Yield and Dry Matter of Canola Under The Condition of Water Stress Using SWAP Model

In recent years, in order to solve problems were presented the way tasks in the agricultural sector. Among these, growth simulation models have been provided for water management, which it possible to reduce the difficulties in agricultural water. The main advantage of these models is that, they can optimize irrigation schedule economically. SWAP model is of the most widely used models in the world which has shown good results for variety of crops. So that, in this practice the performance of this model for simulating the growth of Canola was evaluated according to the data relating to two cultivation periods in Badjgah. The studied parameters consist of soil water content, evapotranspiration, dry matter, and seed yield. The results indicated that, in the calibration and evaluation phases for seed yield respectively, mean normalized error was 8.0 and 14.2. What is more, mean normalized error for simulation of dry matter was 3.9 and 10.8 in calibration and evaluation periods, respectively.